Due to the large number of electrons, solid state physics boils down to many-body approximations in which only selected types of collective excitations are taken into account, guided by the emergent properties of the material under study. In this thesis, the collective excitations of primary interest are electronic charge and spin fluctuations(plasmons and magnons) and nuclear charge fluctuations

Materials of ionic crystals are ubiquitous in industrial chemistry.For example, materials such as cerium dioixde (CeO2) are used in both self-cleaning ovens and to clean exhaust fumes from cars.Other materials, such as titanium dioixde (TiO2) has been used in the solar-cell industry.So-called garnets are used in several lasers.In common for all of these areas of application, is that they are depen

Prior research has shown that companies in various industrial contexts need to achieve both exploitation of current knowledge and technologies to make profits today, and exploration of new knowledge and technologies to adapt to changing conditions and prepare for tomorrow’s demands. The capacity to achieve both exploration and exploitation is especially problematic in project based organizations d

This thesis investigates the role of artefacts in relation to human agency and design within a cognitive semiotics framework. It deals with questions such as What is agency? What are artefacts and how does agency relate to them? What kind of intentions are involved in the activity of designing? What is human-specific with respect to agency and design? How can the origins and evolution of design be

This is the final report of a three-year project called Building Egressibility in an Ageing Society, sponsored by the Swedish research council for sustainable development (FORMAS). While accessibility is an established and widely used concept in building design, the evacuation of people with functional limitations is still at a stage in which several research gaps exist. In this context, this work

Introduction and Aims: Up to 80% of adolescents have experienced trauma and one-in-seven suffer from post­ traumatic stress disorder (PTSD). For 50% of these adoles­cents, the course of their illness is further complicated by a co-occurring substance use disorder (SUD). Despite high rates of comorbidity, treatment options remain sparse and there is limited understanding of the clinical profile ass

Purpose or ObjectiveTo evaluate two commercial, CE labeled deep learning-based models for automatic organs at risk segmentation on planning CT images for prostate cancer radiotherapy. Model evaluation was focused on assessing both geometrical metrics and evaluating a potential time saving.Material and MethodsThe evaluated models consisted of RayStation 10B Deep Learning Segmentation (RaySearch Lab